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Merged
merged 2 commits into from
Jan 12, 2022
Merged

Fix tests #62

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0984353
Fix tests
michel2323 Oct 27, 2021
fb84c69
Update test/runtests.jl
mcabbott Jan 12, 2022
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10 changes: 0 additions & 10 deletions Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -20,13 +20,3 @@ StaticArrays = "1"
StatsBase = "0.33"
StructArrays = "0.6"
julia = "1.7"

[extras]
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test", "ForwardDiff", "LinearAlgebra", "Random", "Symbolics"]
22 changes: 22 additions & 0 deletions test/Project.toml
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Original file line number Diff line number Diff line change
@@ -0,0 +1,22 @@
[deps]
ChainRules = "082447d4-558c-5d27-93f4-14fc19e9eca2"
ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StructArrays = "09ab397b-f2b6-538f-b94a-2f83cf4a842a"
Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[compat]
ChainRules = "1.5"
ChainRulesCore = "1.2"
Combinatorics = "1"
StaticArrays = "1"
StatsBase = "0.33"
StructArrays = "0.6"
julia = "1.7"
32 changes: 18 additions & 14 deletions test/runtests.jl
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Expand Up @@ -25,21 +25,21 @@ ChainRules.rrule(::typeof(my_tuple), args...) = args, Δ->Core.tuple(NoTangent()
# Check characteristic of exp rule
@variables ω α β γ δ ϵ ζ η
(x1, c1) = ∂⃖{3}()(exp, ω)
@test simplify(x1 == exp(ω)).val
@test isequal(simplify(x1), simplify(exp(ω)))
((_, x2), c2) = c1(α)
@test simplify(x2 == α*exp(ω)).val
@test isequal(simplify(x2), simplify(α*exp(ω)))
(x3, c3) = c2(ZeroTangent(), β)
@test simplify(x3 == β*exp(ω)).val
@test isequal(simplify(x3), simplify(β*exp(ω)))
((_, x4), c4) = c3(γ)
@test simplify(x4 == exp(ω)*(γ + (α*β))).val
@test isequal(simplify(x4), simplify(exp(ω)*(γ + (α*β))))
(x5, c5) = c4(ZeroTangent(), δ)
@test simplify(x5 == δ*exp(ω)).val
@test isequal(simplify(x5), simplify(δ*exp(ω)))
((_, x6), c6) = c5(ϵ)
@test simplify(x6 == ϵ*exp(ω) + α*δ*exp(ω)).val
@test isequal(simplify(x6), simplify(ϵ*exp(ω) + α*δ*exp(ω)))
(x7, c7) = c6(ZeroTangent(), ζ)
@test simplify(x7 == ζ*exp(ω) + β*δ*exp(ω)).val
@test isequal(simplify(x7), simplify(ζ*exp(ω) + β*δ*exp(ω)))
(_, x8) = c7(η)
@test simplify(x8 == (η + (α*ζ) + (β*ϵ) + (δ*(γ + (α*β))))*exp(ω)).val
@test isequal(simplify(x8), simplify((η + (α*ζ) + (β*ϵ) + (δ*(γ + (α*β))))*exp(ω)))

# Minimal 2-nd order forward smoke test
@test Diffractor.∂☆{2}()(Diffractor.ZeroBundle{2}(sin),
Expand Down Expand Up @@ -123,10 +123,12 @@ let var"'" = Diffractor.PrimeDerivativeFwd
# Integration tests
@test recursive_sin'(1.0) == cos(1.0)
@test recursive_sin''(1.0) == -sin(1.0)
@test recursive_sin'''(1.0) == -cos(1.0)
@test recursive_sin''''(1.0) == sin(1.0)
@test recursive_sin'''''(1.0) == cos(1.0)
@test recursive_sin''''''(1.0) == -sin(1.0)
# Error: ArgumentError: Tangent for the primal Tangent{Tuple{Float64, Float64}, Tuple{Float64, Float64}}
# should be backed by a NamedTuple type, not by Tuple{Tangent{Tuple{Float64, Float64}, Tuple{Float64, Float64}}}.
Comment on lines +126 to +127
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JuliaDiff/ChainRulesCore.jl#503 should address this, but the integration test still seems to be failing. Probably fine mark these as broken for now, until I figure that out.

@test_broken recursive_sin'''(1.0) == -cos(1.0)
@test_broken recursive_sin''''(1.0) == sin(1.0)
@test_broken recursive_sin'''''(1.0) == cos(1.0)
@test_broken recursive_sin''''''(1.0) == -sin(1.0)

# Test the special rules for sin/cos/exp
@test sin''''''(1.0) == -sin(1.0)
Expand All @@ -148,7 +150,7 @@ end
@test gradient(x -> sum(abs2, x .+ 1.0), zeros(3))[1] == [2.0, 2.0, 2.0]

const fwd = Diffractor.PrimeDerivativeFwd
const bwd = Diffractor.PrimeDerivativeFwd
const bwd = Diffractor.PrimeDerivativeBack
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whoops.


function f_broadcast(a)
l = a / 2.0 * [[0. 1. 1.]; [1. 0. 1.]; [1. 1. 0.]]
Expand Down Expand Up @@ -186,7 +188,9 @@ end
# Issue #27 - Mixup in lifting of getfield
let var"'" = bwd
@test (x->x^5)''(1.0) == 20.
@test (x->x^5)'''(1.0) == 60.
@test (x->(x*x)*(x*x)*x)''' == 60.
# Higher order control flow not yet supported (https://github.com/JuliaDiff/Diffractor.jl/issues/24)
@test_broken (x->x^5)'''(1.0) == 60.
end

# Issue #38 - Splatting arrays
Expand Down